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Chapter Lead Data KYC Domain in Amsterdam

ING is looking for a passionate Chapter Lead... Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in...


ING is looking for a passionate Chapter Lead Data

Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, strong financial position, omni-channel distribution strategy and international network. If you want to work at a place with lots of freedom to innovate, where we believe that you can live by the Agile manifesto without jeopardizing the necessary continuity, compliance and QA measures, where we are committed to deliver stable and secure services to end users, and where we have a 'no nonsense' getting-things done mentality, please read on!

We create applications in the “Know your customer” (KYC) domain. We are tackling fundamental, high impact, problems in the financial services industry. We are passionate about protecting both our customers and our society, delivering products that make ING a safer and more compliant bank.

What you’ll do

As a Chapter Lead Data you will play a key role in driving the success of Data related initiatives from ideation to the delivery of data driven products and solutions. You will be involved in all data related projects and be responsible for maintaining a very high quality standard.

For 50% of your time you will have hands-on involvement. You will be responsible for the data application architecture and infrastructure together with your colleagues. This involves the ingestion, scalable processing and efficiently storing of data.

For 50% of your time you will oversee a chapter of 10-12 engineers which includes recruiting of new talents, administration, personal development, and evaluation of your Chapter members. You inspire and encourage your Chapter members to develop themselves, providing them coaching on both the professional as well as the personal level promoting data engineering excellence within the organization.

Your passion is to work with the latest and greatest technologies that make working with large amounts of data easy, you’re pro-active in keeping yourself up to date and are always searching for new ways to discover new technologies. You combine both thinking of the future and a hands on, right now attitude. You will work in a team with highly skilled people and enjoy a creative atmosphere where trying things out is encouraged.

How to Succeed

  • You have at least 9+ years of (global) work experience in the Data Engineering and Visualization space (methods, technology, data)
  • You have experience in architecting & building data driven solutions.
  • You have management experience and have a proven track record of developing people and knowledge through coaching or mentoring
  • You have experience interacting with (senior level) stakeholders
  • You are have good oratory and presentation skills
  • You have experience in implementing data solutions in Agile ways of working
  • You have vast experience in understanding complex data problems and ability to devise best optimal ways of implementation.
  • You have strong technical skills:
    • Knowledge of data manipulation and transformation, e.g. SQL
    • Hands-on experience building complex data pipelines e.g. ETL
    • Experienced in ETL technology stack e.g. IBM Infosphere, Informatica
    • Familiarity with Business Intelligence reporting & visualization tools e.g. Cognos, PowerBI
  • You may have as well:
    • Hands-on experience managing and further developing distributed systems and clusters for both batch as well as streaming data (S3/Spark and/or Kafka/Flink)
    • Programming in scripting languages, e.g. Python, Unix bash scripting
    • Experience in setting up both SQL as well as noSQL databases
    • Deployment and provisioning automation tools e.g. Docker, Kubernetes, Openshift, CI/CD
    • Security, authentication and authorization (LDAP / Kerberos / PAM)
    • Affinity with Advanced Analytics, Data Science

Extra informatie

Fulltime (ervaren)

Amsterdam | ICT / IT / Programmeur | Fulltime (ervaren)

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